Aysegül Güven

According to our database, Aysegül Güven authored at least 19 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Correction To: Combining functional near-infrared spectroscopy and EEG measurements for the diagnosis of attention-deficit hyperactivity disorder.

Aysegül Güven, Miray Altinkaynak, Nazan Dolu, Meltem Izzetoglu, Ferhat Pektas, Sevgi Özmen, Esra Demirci, Turgay Batbat

Neural Comput. Appl., 2022

2020

Combining functional near-infrared spectroscopy and EEG measurements for the diagnosis of attention-deficit hyperactivity disorder.

Aysegül Güven, Miray Altinkaynak, Nazan Dolu, Meltem Izzetoglu, Ferhat Pektas, Sevgi Özmen, Esra Demirci, Turgay Batbat

Neural Comput. Appl., 2020

2019

Evaluation of divided attention using different stimulation models in event-related potentials.

Turgay Batbat, Aysegül Güven, Nazan Dolu

Medical Biol. Eng. Comput., 2019

2015

Advanced Analysis of Auditory Evoked Potentials in Hyperthyroid Patients: The Effect of Filtering.

Aysegül Güven, Miray Altinkaynak, Nazan Dolu, Kürsat Ünlühizarci

J. Medical Syst., 2015

2009

Usage of class dependency based feature selection and fuzzy weighted pre-processing methods on classification of macular disease.

Kemal Polat, Sadik Kara, Aysegül Güven, Salih Günes

Expert Syst. Appl., 2009

Comparison of different classifier algorithms for diagnosing macular and optic nerve diseases.

Kemal Polat, Sadiotak Kara, Aysegül Güven, Salih Günes

Expert Syst. J. Knowl. Eng., 2009

2008

Utilization of Discretization method on the diagnosis of optic nerve disease.

Kemal Polat, Sadik Kara, Aysegül Güven, Salih Günes

Comput. Methods Programs Biomed., 2008

The effect of generalized discriminate analysis (GDA) to the classification of optic nerve disease from VEP signals.

Aysegül Güven, Kemal Polat, Sadik Kara, Salih Günes

Comput. Biol. Medicine, 2008

Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signals.

Bayram Akdemir, Sadik Kara, Kemal Polat, Aysegül Güven, Salih Günes

Artif. Intell. Medicine, 2008

2007

Neural Network-Based Diagnosing for Optic Nerve Disease from Visual-Evoked Potential.

Sadik Kara, Aysegül Güven

J. Medical Syst., 2007

Classification of macular and optic nerve disease by principal component analysis.

Sadik Kara, Aysegül Güven, Semra Içer

Comput. Biol. Medicine, 2007

Training a learning vector quantization network using the pattern electroretinography signals.

Sadik Kara, Aysegül Güven

Comput. Biol. Medicine, 2007

A Hybrid Automated Detection System Based on Least Square Support Vector Machine Classifier and <i>k</i> -NN Based Weighted Pre-processing for Diagnosing of Macular Disease.

Kemal Polat, Sadik Kara, Aysegül Güven, Salih Günes

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

2006

Comparison of multilayer perceptron training algorithms for portal venous doppler signals in the cirrhosis disease.

Semra Içer, Sadik Kara, Aysegül Güven

Expert Syst. Appl., 2006

Classification of electro-oculogram signals using artificial neural network.

Aysegül Güven, Sadik Kara

Expert Syst. Appl., 2006

Diagnosis of the macular diseases from pattern electroretinography signals using artificial neural networks.

Aysegül Güven, Sadik Kara

Expert Syst. Appl., 2006

Utilization of artificial neural networks and autoregressive modeling in diagnosing mitral valve stenosis.

Sadik Kara, Aysegül Güven, Mustafa Okandan, Fatma Dirgenali

Comput. Biol. Medicine, 2006

Utilization of artificial neural networks in the diagnosis of optic nerve diseases.

Sadik Kara, Aysegül Güven, Ayse Öztürk Öner

Comput. Biol. Medicine, 2006

2005

Detection of femoral artery occlusion from spectral density of Doppler signals using the artificial neural network.

Sadik Kara, Semra Kemaloglu, Aysegül Güven

Expert Syst. Appl., 2005